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Table 2 Performance of individual predictors and RPI-SE on RPI369 data set

From: RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information

Predictors

Acc(%)

TPR(%)

TNR(%)

PPV(%)

MCC(%)

XGBoost

84.54

81.45

90.08

78.87

69.51

SVM

75.63

72.50

83.49

67.61

51.86

ExtraTree

68.66

67.65

72.74

64.51

37.57

RPI-SE

88.44

83.69

95.87

80.85

77.73

  1. The boldface indicates this measure performance is the best among the compared methods
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BMC Bioinformatics

ISSN: 1471-2105

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